Practical Model-Based Testing: A Tools Approach
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- Synopsis
- Practical Model-Based Testing gives a practical introduction to model-based testing, showing how to write models for testing purposes and how to use model-based testing tools to generate test suites. It is aimed at testers and software developers who wish to use model-based testing, rather than at tool-developers or academics. The book focuses on the mainstream practice of functional black-box testing and covers different styles of models, especially transition-based models (UML state machines) and pre/post models (UML/OCL specifications and B notation). The steps of applying model-based testing are demonstrated on examples and case studies from a variety of software domains, including embedded software and information systems. From this book you will learn: The basic principles and terminology of model-based testingHow model-based testing differs from other testing processesHow model-based testing fits into typical software lifecycles such as agile methods and the Unified ProcessThe benefits and limitations of model-based testing, its cost effectiveness and how it can reduce time-to-marketA step-by-step process for applying model-based testingHow to write good models for model-based testingHow to use a variety of test selection criteria to control the tests that are generated from your modelsHow model-based testing can connect to existing automated test execution platforms such as Mercury Test Director, Java JUnit, and proprietary test execution environmentsPresents the basic principles and terminology of model-based testingShows how model-based testing fits into the software lifecycle, its cost-effectiveness, and how it can reduce time to marketOffers guidance on how to use different kinds of modeling techniques, useful test generation strategies, how to apply model-based testing techniques to real applications using case studies
- Copyright:
- 2007
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 456 Pages
- ISBN-13:
- 9780080466484
- Related ISBNs:
- 9781493300914, 9780123725011
- Publisher:
- Elsevier Science
- Date of Addition:
- 05/15/21
- Copyrighted By:
- Elsevier Science & Technology
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.